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XHTML 1.0 W3C Rec
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Travelled to:
1 × Australia
1 × Finland
1 × Germany
1 × Israel
1 × Italy
13 × USA
2 × Canada
Collaborated with:
M.G.Lagoudakis L.Li A.L.Strehl T.J.Walsh F.Jiang M.Babes C.Diuk K.Subramanian C.Szepesvári R.Parr C.Painter-Wakefield P.Stone B.Ur V.N.Marivate S.Goschin A.Weinstein M.Wunder A.Cohen G.A.Keim A.R.Cassandra L.P.Kaelbling E.McManus M.P.Y.Ho E.Sodomka E.Hilliard A.Greenwald F.Yaman M.desJardins C.Mesterharm H.Hirsh G.Taylor E.Wiewiora J.Langford S.P.Singh N.K.Jong D.Pardoe R.E.Schapire D.A.McAllester J.A.Csirik L.Brothers J.D.Hollan J.Neilsen S.Stornetta S.P.Abney G.W.Furnas D.E.Egan M.Lesk R.D.Ketchum C.C.Lochbaum J.R.Remde T.K.Landauer J.Ash G.Cohen S.Jalal S.Lichtenberg P.Quiza E.Zhang
Talks about:
learn (17) reinforc (6) model (6) approxim (4) represent (3) general (3) select (3) game (3) base (3) apprenticeship (2)

Person: Michael L. Littman

DBLP DBLP: Littman:Michael_L=

Facilitated 1 volumes:

ICML 2009Ed

Contributed to:

CHI 20142014
ICML c3 20132013
HCI p3 20112011
ICML 20112011
ICML 20102010
ICML 20082008
ICML 20072007
ICML 20062006
ICML 20052005
ICML 20032003
ICML 20022002
ICML 20012001
SAT 20012001
ICML 20002000
ICML 19981998
ICML 19961996
ICML 19951995
ICML 19941994
CSCW 19921992
HT 19911991

Wrote 27 papers:

CHI-2014-UrMHL #programming #smarttech
Practical trigger-action programming in the smart home (BU, EM, MPYH, MLL), pp. 803–812.
The Cross-Entropy Method Optimizes for Quantiles (SG, AW, MLL), pp. 1193–1201.
ICML-c3-2013-SodomkaHLG #game studies #learning #named #probability
Coco-Q: Learning in Stochastic Games with Side Payments (ES, EH, MLL, AG), pp. 1471–1479.
HCI-MIIE-2011-AshBCJLLMQUZ #programming
Scratchable Devices: User-Friendly Programming for Household Appliances (JA, MB, GC, SJ, SL, MLL, VNM, PQ, BU, EZ), pp. 137–146.
ICML-2011-BabesMLS #learning #multi
Apprenticeship Learning About Multiple Intentions (MB, VNM, KS, MLL), pp. 897–904.
ICML-2010-WalshSLD #learning
Generalizing Apprenticeship Learning across Hypothesis Classes (TJW, KS, MLL, CD), pp. 1119–1126.
ICML-2010-WunderLB #multi
Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration (MW, MLL, MB), pp. 1167–1174.
ICML-2008-DiukCL #learning #object-oriented #performance #representation
An object-oriented representation for efficient reinforcement learning (CD, AC, MLL), pp. 240–247.
ICML-2008-LiLW #framework #learning #self #what
Knows what it knows: a framework for self-aware learning (LL, MLL, TJW), pp. 568–575.
ICML-2008-ParrLTPL #analysis #approximate #feature model #learning #linear #modelling
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning (RP, LL, GT, CPW, MLL), pp. 752–759.
ICML-2008-YamanWLd #approximate #modelling
Democratic approximation of lexicographic preference models (FY, TJW, MLL, Md), pp. 1200–1207.
ICML-2007-ParrPLL #approximate #generative
Analyzing feature generation for value-function approximation (RP, CPW, LL, MLL), pp. 737–744.
ICML-2006-StrehlLWLL #learning
PAC model-free reinforcement learning (ALS, LL, EW, JL, MLL), pp. 881–888.
ICML-2006-StrehlMLH #learning #problem
Experience-efficient learning in associative bandit problems (ALS, CM, MLL, HH), pp. 889–896.
ICML-2005-StrehlL #analysis #estimation #modelling
A theoretical analysis of Model-Based Interval Estimation (ALS, MLL), pp. 856–863.
ICML-2003-SinghLJPS #learning #predict
Learning Predictive State Representations (SPS, MLL, NKJ, DP, PS), pp. 712–719.
ICML-2002-SchapireSMLC #estimation #modelling #nondeterminism #using
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation (RES, PS, DAM, MLL, JAC), pp. 546–553.
ICML-2001-Littman #game studies
Friend-or-Foe Q-learning in General-Sum Games (MLL), pp. 322–328.
SAT-2001-LagoudakisL #branch #learning #satisfiability
Learning to Select Branching Rules in the DPLL Procedure for Satisfiability (MGL, MLL), pp. 344–359.
ICML-2000-JiangL #approximate #information retrieval
Approximate Dimension Equalization in Vector-based Information Retrieval (FJ, MLL), pp. 423–430.
ICML-2000-LagoudakisL #algorithm #learning #using
Algorithm Selection using Reinforcement Learning (MGL, MLL), pp. 511–518.
ICML-1998-LittmanJK #corpus #independence #learning #representation
Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus (MLL, FJ, GAK), pp. 314–322.
ICML-1996-LittmanS #convergence
A Generalized Reinforcement-Learning Model: Convergence and Applications (MLL, CS), pp. 310–318.
ICML-1995-LittmanCK #learning #policy #scalability
Learning Policies for Partially Observable Environments: Scaling Up (MLL, ARC, LPK), pp. 362–370.
ICML-1994-Littman #framework #game studies #learning #markov #multi
Markov Games as a Framework for Multi-Agent Reinforcement Learning (MLL), pp. 157–163.
CSCW-1992-BrothersHNSAFL #communication
Supporting Informal Communication via Ephemeral Interest Groups (LB, JDH, JN, SS, SPA, GWF, MLL), pp. 84–90.
HT-1991-EganLKLRLL #hypermedia #library
Hypertext for the Electronic Library? CORE Sample Results (DEE, ML, RDK, CCL, JRR, MLL, TKL), pp. 299–312.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.